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Head-to-head · Model Hosting

Amazon SageMaker AI vs Fireworks AI

  • Updated Oct 2026
  • Both researched from official sources
  • 2 checks side by side
Higher score Amazon SageMaker AI #1 in Model Hosting 9.3/10 Paid ✓ 0 of 3 features Visit AWS
Fireworks AI #7 in Model Hosting 8.8/10 Paid ✓ 1 of 3 features Visit Fireworks AI

Amazon SageMaker AI leads on 0 checks, Fireworks AI on 0, and 2 are even. Who comes out ahead on the 2 yes/no, price and count checks where we have data for both products. The editor score weighs everything else too.

Our verdict

  • Highest scoreAmazon SageMaker AI · 9.3/10
  • Most featuresFireworks AI · 1 of 3

Amazon SageMaker AI scores higher on our rubric for model hosting: 9.3 against 8.8 out of 10; our editors rank them #1 and #7.

Amazon SageMaker AI is the better fit for teams wanting end-to-end managed ML on AWS. Fireworks AI is the better fit for teams serving custom models on serverless or GPUs.

  • Amazon SageMaker AI fits best

    Teams wanting end-to-end managed ML on AWS

  • Fireworks AI fits best

    Teams serving custom models on serverless or GPUs

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Side by side

Feature Amazon SageMaker AI 9.3/10 Visit ↗ Fireworks AI 8.8/10 Visit ↗
At a glance
Editor score 9.3 8.8
Ranking #1 in Model Hosting #7 in Model Hosting
Best for Teams wanting end-to-end managed ML on AWS Teams serving custom models on serverless or GPUs
Pricing model Paid Paid
Starting price Not checked yet $0.05/unit usage-based
Free plan — —
Free trial — —
Deployment Cloud Cloud, Self-hosted
Platforms Web Web
Support Docs Community, Docs
Compliance SOC 2, ISO 27001 SOC 2, HIPAA, GDPR, SSO/SAML
Integrations 6 integrations 8 integrations
Built for Small business, Mid-market, Enterprise Small business, Mid-market, Enterprise
Features Amazon SageMaker AI 0/3 · Fireworks AI 1/3
Custom model hosting Not checked yet Not checked yet
Autoscaling Not checked yet ✓ (best)
GPU inference Not checked yet Not checked yet
Specs
Deployment type Not checked yet Not checked yet
Supported runtimes Not checked yet Not checked yet
Deployment regions Not checked yet 26
Our review
Pros
  • Supports managed training, distributed workloads, and several inference modes
  • Connects experiment tracking, model registry, and pipelines in one workflow
  • Offers Feature Store plus AWS security and networking integrations
  • Offers serverless inference and dedicated GPU deployments.
  • Supports autoscaling, scale-to-zero, and asynchronous batch inference.
  • Accepts custom models from Hugging Face, S3, or Azure Blob Storage.
Cons
  • Usage-based pricing spans compute, storage, and data processing
  • AWS Free Tier usage applies only during the first two months
  • Several legacy features are unavailable to new customers or have ended support
  • No perpetual free plan; usage is billed by tokens or GPU time.
  • On-demand GPU rates range from $8 to $20 per GPU hour.
  • Support channels are community and documentation.
Our verdict

Amazon SageMaker AI is a managed machine-learning service for data scientists, developers, and ML engineers working in AWS. Its scope covers model development in a web-based Studio environment, managed training, experiment tracking, model…

Read the review →

Fireworks AI provides hosted inference, customization, evaluation, and training for open AI models. Its serverless option suits teams prototyping or serving workloads billed by tokens, while dedicated GPU deployments address production…

Read the review →
  1. Amazon SageMaker AIModel Hosting 9.3Paid
  2. Fireworks AIModel Hosting 8.8Paid

Strengths and trade-offs

  • Amazon SageMaker AI — where it wins

    • Supports managed training, distributed workloads, and several inference modes
    • Connects experiment tracking, model registry, and pipelines in one workflow
    • Offers Feature Store plus AWS security and networking integrations

    Where it doesn't

    • Usage-based pricing spans compute, storage, and data processing
    • AWS Free Tier usage applies only during the first two months
    • Several legacy features are unavailable to new customers or have ended support

  • Fireworks AI — where it wins

    • Offers serverless inference and dedicated GPU deployments.
    • Supports autoscaling, scale-to-zero, and asynchronous batch inference.
    • Accepts custom models from Hugging Face, S3, or Azure Blob Storage.

    Where it doesn't

    • No perpetual free plan; usage is billed by tokens or GPU time.
    • On-demand GPU rates range from $8 to $20 per GPU hour.
    • Support channels are community and documentation.

More comparisons

All model hosting comparisons → · Full ranking →

Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026

Last updated · How we research and update